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A Multi-Objective Input–Output Linear Model for Water Supply, Economic Growth and Environmental Planning in Resource-Based Cities

机译:资源型城市供水,经济增长和环境规划的多目标投入产出线性模型

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Water resource and environment capacity have become two of the most important restrictions for sustainable development in resource-based cities whose leading industries are the exploitation and processing of resources. Taking Ordos in China as an example, this article constructs an integrated model combining a multi-objective optimization model with input–output analysis to achieve the tradeoffs between economic growth, water utilization and environmental protection. This dynamic model includes socioeconomic, water supply–demand, water quality control, air quality control, energy consumption control and integrated policy sub-models. These six sub-models interact with each other. After simulation, this article proposes efficient solutions on industrial restructuring by maximizing the Gross Regional Product of Ordos from 394.3 in 2012 to 785.1 billion RMB in 2025 with a growth rate of 6.4% annually; and presents a water supply plan by maximizing the proportion of reclaimed water from 2% to 6.3% through sewage treatment technology selection and introduction, and effective water allocation. Meanwhile, the environmental impacts are all in line with the planning targets. This study illustrates that the integrated modeling is generic and can be applied to any region suffering uncoordinated development issues and can serve as a pre-evaluation approach for conducting early warning research to offer suggestions for government decision-making.
机译:水资源和环境容量已成为资源型城市可持续发展的最重要的两个限制,资源型城市的主导产业是资源的开发和加工。以中国鄂尔多斯市为例,构建了一个多目标优化模型与投入产出分析相结合的综合模型,以实现经济增长,水资源利用与环境保护之间的权衡。这个动态模型包括社会经济,供需,水质控制,空气质量控制,能耗控制和综合政策子模型。这六个子模型彼此交互。通过模拟,本文提出了有效的产业结构调整方案,使鄂尔多斯的地区生产总值从2012年的394.3增长到2025年的7851亿元,年均增长6.4%。并提出了一项供水计划,通过污水处理技术的选择和引进以及有效的配水,将中水的比例从2%最大化到6.3%。同时,环境影响均符合规划目标。这项研究表明,综合建模是通用的,可以应用于遭受不协调发展问题的任何地区,并且可以作为进行早期预警研究的预评估方法,为政府决策提供建议。

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